Electrocardiography (ECG) Finite element method Genetic algorithm Inverse problem
Issue Date:
2008
Publisher:
RIVF 2008 - 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies
Citation:
Page : 64-70
Abstract:
The electrocardiogram inverse problem is a non-linear and ill-posed problem for which it is very
difficult to find an exact solution. In this paper, we presented an efficient and robust method to solve this
problem. The heart activity is modeled by a single moving dipole and the human body is considered as finite
volume conductor constructed based on an anatomic atlas. For solution method, finite element method is
applied to the forward problem. The volume conductor is meshed into arbitrary triangular elements. The
efficiency of the methods stems from the employment of genetic algorithm for minimization of difference
between the measured potentials and the calculated potentials generated from a predicted dipole source.
Finally, the algorithm is successfully tested with simulation model and used to estimate dipole source for
real data obtained from 31 electrodes on body surface. As a result, the equivalent dipole always moves
clockwise and its direction changes counterclockwise. ??2008 IEEE.